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Field
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. The mission of ODS is to coordinate cutting-edge dietary supplement research across NIH and the federal government to foster knowledge and optimize health across the lifespan. What will I be doing? As a fellow
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for an ultra-high vacuum synchrotron end-station using CAD software. - Run, optimize, and document data acquisition codes (LabVIEW and Python) - Aid NIST staff in developing plans
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distribution systems, EV charging modeling, distributed energy resources, optimization, control, machine learning, hardware-in-the-loop simulation. Expertise in programming languages such as Python, C
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) and a track record of productive collaboration within interdisciplinary teams. Core Skills: Experimental Design & Troubleshooting: Ability to conceptualize, execute, and optimize complex in vivo (mouse
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Responsibilities Develop and optimize protein purification protocols for key stress response factors Establish in vitro reconstitution systems to study protein-metabolite interactions Design and implement genetic
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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that underpins the scientific research of the collaboration. Project Plan: The work will build on PML's current optomechanical accelerometry research and develop sensing optimized for inertial measurement. New
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research interests in one or more of the following subfields: scientific machine learning, optimization, deep learning, uncertainty quantification, (Bayesian) inverse problems, reduced order modeling, high
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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into cardiomyocytes for heart regeneration. Explore novel strategies combining optimal cardiovascular cell types and bioengineering/biomaterials for heart cell therapy. Operates with considerable actions or decisions